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Master’s degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or other quantitative fields. 7+ years of professional experience in Data Science, Machine Learning and Credit Risk or Fraud Strategies.
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Research Scientist, Central Applied Science (PhD) Responsibilities Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
$116,002 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Machine Learning, Artificial Intelligence, or similar. Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, language modeling, pretraining, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and computer vision.
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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PhD in Privacy, Security, Machine Learning, Cryptography, or a related field, or 5+ years of experience working on related research. - Demonstrated expertise in privacy-enhanced techniques (PET) including data and identity anonymization, differential privacy, secure multi-party computation, federated machine learning, on-device machine learning, privacy-preserving regulation technology, etc.
$175,750 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes. Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred.
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Experience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Conference papers in machine learning/data mining/artificial intelligence related fields (KDD/WWW/NIPS/ICML/CVPR/ACL/AAAI etc). Currently pursuing a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
$60 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Fx, XLA and MLIR; - Large scale data processing and parallel computing; - Experiences in designing and operating large scale systems in cloud computing or machine learning; - Experiences in in-depth CUDA programming and performance tuning (cutlass, triton) Preferred Qualifications Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship.
$57 a yearInternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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For us, a data scientist is a fusion of core production skills with analytic and business skills. Statistical knowledge and extreme proficiency in SQL. Comfortable with R, Python and Tableau. Full visa sponsorship and relocation assistance available for eligible candidates.
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We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc. You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning.
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Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, natural language processing, and computer vision.
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